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Probability and Statistics for Data Science

Math + R + Data

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  • 412 pages
  • 15 hours of reading

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Aimed at data science students, this textbook offers a comprehensive exploration of probability and statistics grounded in calculus. It is tailored for a one-semester course at the junior, senior, or graduate level, incorporating essential concepts from matrix algebra and basic computer programming. The content is designed to equip students with the analytical skills necessary for data-driven decision-making in various fields, particularly in computer science.

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Probability and Statistics for Data Science, Norman Matloff

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Released
2019
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(Paperback)
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